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Dive into the research topics where Jui- Hung is active.

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Featured researches published by Jui- Hung.


Cell | 2011

Mbd3/NURD Complex Regulates Expression of 5-Hydroxymethylcytosine Marked Genes in Embryonic Stem Cells

Ozlem Yildirim; Ruowang Li; Jui-Hung Hung; Poshen B. Chen; Xianjun Dong; Ly-Sha Ee; Zhiping Weng; Oliver J. Rando; Thomas G. Fazzio

Numerous chromatin regulators are required for embryonic stem (ES) cell self-renewal and pluripotency, but few have been studied in detail. Here, we examine the roles of several chromatin regulators whose loss affects the pluripotent state of ES cells. We find that Mbd3 and Brg1 antagonistically regulate a common set of genes by regulating promoter nucleosome occupancy. Furthermore, both Mbd3 and Brg1 play key roles in the biology of 5-hydroxymethylcytosine (5hmC): Mbd3 colocalizes with Tet1 and 5hmC in vivo, Mbd3 knockdown preferentially affects expression of 5hmC-marked genes, Mbd3 localization is Tet1-dependent, and Mbd3 preferentially binds to 5hmC relative to 5-methylcytosine in vitro. Finally, both Mbd3 and Brg1 are themselves required for normal levels of 5hmC in vivo. Together, our results identify an effector for 5hmC, and reveal that control of gene expression by antagonistic chromatin regulators is a surprisingly common regulatory strategy in ES cells.


Nucleic Acids Research | 2009

VisANT 3.5: multi-scale network visualization, analysis and inference based on the gene ontology

Zhenjun Hu; Jui-Hung Hung; Yan Wang; Yi-Chien Chang; Chia-Ling Huang; Matt Huyck; Charles DeLisi

Despite its wide usage in biological databases and applications, the role of the gene ontology (GO) in network analysis is usually limited to functional annotation of genes or gene sets with auxiliary information on correlations ignored. Here, we report on new capabilities of VisANT--an integrative software platform for the visualization, mining, analysis and modeling of the biological networks--which extend the application of GO in network visualization, analysis and inference. The new VisANT functions can be classified into three categories. (i) Visualization: a new tree-based browser allows visualization of GO hierarchies. GO terms can be easily dropped into the network to group genes annotated under the term, thereby integrating the hierarchical ontology with the network. This facilitates multi-scale visualization and analysis. (ii) Flexible annotation schema: in addition to conventional methods for annotating network nodes with the most specific functional descriptions available, VisANT also provides functions to annotate genes at any customized level of abstraction. (iii) Finding over-represented GO terms and expression-enriched GO modules: two new algorithms have been implemented as VisANT plugins. One detects over-represented GO annotations in any given sub-network and the other finds the GO categories that are enriched in a specified phenotype or perturbed dataset. Both algorithms take account of network topology (i.e. correlations between genes based on various sources of evidence). VisANT is freely available at http://visant.bu.edu.


Nucleic Acids Research | 2013

Factorbook.org: a Wiki-based database for transcription factor-binding data generated by the ENCODE consortium

Jie Wang; Jiali Zhuang; Sowmya Iyer; XinYing Lin; Melissa C. Greven; Bong-Hyun Kim; Jill Moore; Brian G. Pierce; Xianjun Dong; Daniel Virgil; Ewan Birney; Jui-Hung Hung; Zhiping Weng

The Encyclopedia of DNA Elements (ENCODE) consortium aims to identify all functional elements in the human genome including transcripts, transcriptional regulatory regions, along with their chromatin states and DNA methylation patterns. The ENCODE project generates data utilizing a variety of techniques that can enrich for regulatory regions, such as chromatin immunoprecipitation (ChIP), micrococcal nuclease (MNase) digestion and DNase I digestion, followed by deeply sequencing the resulting DNA. As part of the ENCODE project, we have developed a Web-accessible repository accessible at http://factorbook.org. In Wiki format, factorbook is a transcription factor (TF)-centric repository of all ENCODE ChIP-seq datasets on TF-binding regions, as well as the rich analysis results of these data. In the first release, factorbook contains 457 ChIP-seq datasets on 119 TFs in a number of human cell lines, the average profiles of histone modifications and nucleosome positioning around the TF-binding regions, sequence motifs enriched in the regions and the distance and orientation preferences between motif sites.


Briefings in Bioinformatics | 2012

Gene set enrichment analysis: performance evaluation and usage guidelines

Jui-Hung Hung; Tun-Hsiang Yang; Zhenjun Hu; Zhiping Weng; Charles DeLisi

A central goal of biology is understanding and describing the molecular basis of plasticity: the sets of genes that are combinatorially selected by exogenous and endogenous environmental changes, and the relations among the genes. The most viable current approach to this problem consists of determining whether sets of genes are connected by some common theme, e.g. genes from the same pathway are overrepresented among those whose differential expression in response to a perturbation is most pronounced. There are many approaches to this problem, and the results they produce show a fair amount of dispersion, but they all fall within a common framework consisting of a few basic components. We critically review these components, suggest best practices for carrying out each step, and propose a voting method for meeting the challenge of assessing different methods on a large number of experimental data sets in the absence of a gold standard.


Developmental Cell | 2014

High-Resolution Mapping of Chromatin Packaging in Mouse Embryonic Stem Cells and Sperm

Benjamin R. Carone; Jui-Hung Hung; Sarah J. Hainer; Min-Te Chou; Dawn M. Carone; Zhiping Weng; Thomas G. Fazzio; Oliver J. Rando

Mammalian embryonic stem cells (ESCs) and sperm exhibit unusual chromatin packaging that plays important roles in cellular function. Here, we extend a recently developed technique, based on deep paired-end sequencing of lightly digested chromatin, to assess footprints of nucleosomes and other DNA-binding proteins genome-wide in murine ESCs and sperm. In ESCs, we recover well-characterized features of chromatin such as promoter nucleosome depletion and further identify widespread footprints of sequence-specific DNA-binding proteins such as CTCF, which we validate in knockdown studies. We document global differences in nuclease accessibility between ESCs and sperm, finding that the majority of histone retention in sperm preferentially occurs in large gene-poor genomic regions, with only a small subset of nucleosomes being retained over promoters of developmental regulators. Finally, we describe evidence that CTCF remains associated with the genome in mature sperm, where it could play a role in organizing the sperm genome.


Molecular Therapy | 2011

MicroRNA-regulated, Systemically Delivered rAAV9: A Step Closer to CNS-restricted Transgene Expression

Jun Xie; Qing Xie; Hongwei Zhang; Stefan L. Ameres; Jui-Hung Hung; Qin Su; Xin Mu; Seemin Seher Ahmed; Soyeon Park; Hiroki Kato; Chengjian Li; Christian Mueller; Craig C. Mello; Zhiping Weng; Terence R. Flotte; Phillip D. Zamore; Guangping Gao

Recombinant adeno-associated viruses (rAAVs) that can cross the blood–brain-barrier and achieve efficient and stable transvascular gene transfer to the central nervous system (CNS) hold significant promise for treating CNS disorders. However, following intravascular delivery, these vectors also target liver, heart, skeletal muscle, and other tissues, which may cause untoward effects. To circumvent this, we used tissue-specific, endogenous microRNAs (miRNAs) to repress rAAV expression outside the CNS, by engineering perfectly complementary miRNA-binding sites into the rAAV9 genome. This approach allowed simultaneous multi-tissue regulation and CNS-directed stable transgene expression without detectably perturbing the endogenous miRNA pathway. Regulation of rAAV expression by miRNA was primarily via site-specific cleavage of the transgene mRNA, generating specific 5′ and 3′ mRNA fragments. Our findings promise to facilitate the development of miRNA-regulated rAAV for CNS-targeted gene delivery and other applications.


Proteins | 2010

Performance of ZDOCK and ZRANK in CAPRI rounds 13–19†

Howook Hwang; Thom Vreven; Brian G. Pierce; Jui-Hung Hung; Zhiping Weng

We report the performance of the ZDOCK and ZRANK algorithms in CAPRI rounds 13–19 and introduce a novel measure atom contact frequency (ACF). To compute ACF, we identify the residues that most often make contact with the binding partner in the complete set of ZDOCK predictions for each target. We used ACF to predict the interface of the proteins, which, in combination with the biological data available in the literature, is a valuable addition to our docking pipeline. Furthermore, we incorporated a straightforward and efficient clustering algorithm with two purposes: (1) to determine clusters of similar docking poses (corresponding to energy funnels) and (2) to remove redundancies from the final set of predictions. With these new developments, we achieved at least one acceptable prediction for targets 29 and 36, at least one medium‐quality prediction for targets 41 and 42, and at least one high‐quality prediction for targets 37 and 40; thus, we succeeded for six out of a total of 12 targets. Proteins 2010.


PLOS Computational Biology | 2012

Using Functional Signatures to Identify Repositioned Drugs for Breast, Myelogenous Leukemia and Prostate Cancer

Daichi Shigemizu; Zhenjun Hu; Jui-Hung Hung; Chia-Ling Huang; Yajie Wang; Charles DeLisi

The cost and time to develop a drug continues to be a major barrier to widespread distribution of medication. Although the genomic revolution appears to have had little impact on this problem, and might even have exacerbated it because of the flood of additional and usually ineffective leads, the emergence of high throughput resources promises the possibility of rapid, reliable and systematic identification of approved drugs for originally unintended uses. In this paper we develop and apply a method for identifying such repositioned drug candidates against breast cancer, myelogenous leukemia and prostate cancer by looking for inverse correlations between the most perturbed gene expression levels in human cancer tissue and the most perturbed expression levels induced by bioactive compounds. The method uses variable gene signatures to identify bioactive compounds that modulate a given disease. This is in contrast to previous methods that use small and fixed signatures. This strategy is based on the observation that diseases stem from failed/modified cellular functions, irrespective of the particular genes that contribute to the function, i.e., this strategy targets the functional signatures for a given cancer. This function-based strategy broadens the search space for the effective drugs with an impressive hit rate. Among the 79, 94 and 88 candidate drugs for breast cancer, myelogenous leukemia and prostate cancer, 32%, 13% and 17% respectively are either FDA-approved/in-clinical-trial drugs, or drugs with suggestive literature evidences, with an FDR of 0.01. These findings indicate that the method presented here could lead to a substantial increase in efficiency in drug discovery and development, and has potential application for the personalized medicine.


Molecular Cell | 2015

Uridylation of RNA Hairpins by Tailor Confines the Emergence of MicroRNAs in Drosophila

Madalena M. Reimão-Pinto; Valentina Ignatova; Thomas R Burkard; Jui-Hung Hung; Raphael A Manzenreither; Ivica Sowemimo; Veronika A. Herzog; Brian Reichholf; Sara Fariña-Lopez; Stefan L. Ameres

Summary Uridylation of RNA species represents an emerging theme in post-transcriptional gene regulation. In the microRNA pathway, such modifications regulate small RNA biogenesis and stability in plants, worms, and mammals. Here, we report Tailor, an uridylyltransferase that is required for the majority of 3′ end modifications of microRNAs in Drosophila and predominantly targets precursor hairpins. Uridylation modulates the characteristic two-nucleotide 3′ overhang of microRNA hairpins, which regulates processing by Dicer-1 and destabilizes RNA hairpins. Tailor preferentially uridylates mirtron hairpins, thereby impeding the production of non-canonical microRNAs. Mirtron selectivity is explained by primary sequence specificity of Tailor, selecting substrates ending with a 3′ guanosine. In contrast to mirtrons, conserved Drosophila precursor microRNAs are significantly depleted in 3′ guanosine, thereby escaping regulatory uridylation. Our data support the hypothesis that evolutionary adaptation to Tailor-directed uridylation shapes the nucleotide composition of precursor microRNA 3′ ends. Hence, hairpin uridylation may serve as a barrier for the de novo creation of microRNAs in Drosophila.


eLife | 2013

Hdac6 regulates Tip60-p400 function in stem cells

Poshen B. Chen; Jui-Hung Hung; Taylor L. Hickman; Andrew H. Coles; James F. Carey; Zhiping Weng; Feixia Chu; Thomas G. Fazzio

In embryonic stem cells (ESCs), the Tip60 histone acetyltransferase activates genes required for proliferation and silences genes that promote differentiation. Here we show that the class II histone deacetylase Hdac6 co-purifies with Tip60-p400 complex from ESCs. Hdac6 is necessary for regulation of most Tip60-p400 target genes, particularly those repressed by the complex. Unlike differentiated cells, where Hdac6 is mainly cytoplasmic, Hdac6 is largely nuclear in ESCs, neural stem cells (NSCs), and some cancer cell lines, and interacts with Tip60-p400 in each. Hdac6 localizes to promoters bound by Tip60-p400 in ESCs, binding downstream of transcription start sites. Surprisingly, Hdac6 does not appear to deacetylate histones, but rather is required for Tip60-p400 binding to many of its target genes. Finally, we find that, like canonical subunits of Tip60-p400, Hdac6 is necessary for robust ESC differentiation. These data suggest that Hdac6 plays a major role in the modulation of Tip60-p400 function in stem cells. DOI: http://dx.doi.org/10.7554/eLife.01557.001

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Zhiping Weng

University of Massachusetts Medical School

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Phillip D. Zamore

University of Massachusetts Medical School

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Stefan L. Ameres

University of Massachusetts Medical School

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Oliver J. Rando

University of Massachusetts Medical School

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Thomas G. Fazzio

University of Massachusetts Medical School

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Bo W. Han

University of Massachusetts Medical School

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Guangping Gao

University of Massachusetts Medical School

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